Session Details
[SS23]Unraveling microbial community dynamics through metabolic interactions
Fri. Jul 11, 2025 10:10 AM - 11:50 AM JST
Fri. Jul 11, 2025 1:10 AM - 2:50 AM UTC
Fri. Jul 11, 2025 1:10 AM - 2:50 AM UTC
Room 02
Chair:Mayumi Seto(Nara Women's University, Japan)
Microbial metabolism is a complex system composed of an extensive array of biochemical reactions. In ecosystems, microbial species with diverse metabolic pathways exchange metabolic products, expanding the metabolic network across entire communities into more complex forms. This community-level metabolic network forms the foundational framework that shapes biogeochemical cycles and energy flows within ecosystems. Understanding the detailed metabolic interactions of environmental microorganisms, along with the processes of their growth and environmental modification, is crucial for deciphering the co-development of organisms and their environment, and for predicting environmental changes. To achieve this, it is necessary to reconstruct traditional microbial modeling from the perspective of metabolic systems, enabling the advancement of mathematical models integrated with environmental omics data. This session brings together leading researchers at the forefront of cutting-edge efforts, fostering discussions aimed at advancing our understanding of microbial community interactions within metabolic contexts.
[SS23-01]Functional reduction of microbial communities via metabolic trait modeling
*Risa Sasaki1, Mayumi Seto1 (1. Nara Women’s University (Japan))
[SS23-02]Integration of Metabolic Networks with Multi-Omics Data for New Insights into Context-Dependent Microbiome Metabolism
*Hugh C McCullough1, Hyun-Seob Song1 (1. University of Nebraska - Lincoln (United States of America))
[SS23-03]Machine Learning for Efficient and Robust Simulations of Reactive-Transport Systems Integrated with Microbial Metabolic Networks
*Hyun-Seob Song1, Firnaaz Ahamed1, Joon-Yong Lee2, Christopher Henry3, Janaka Edirisinghe3, William Nelson2, Xingyuan Chen2, J. David Moulton4, Timothy Scheibe2 (1. University of Nebraska-Lincoln (United States of America), 2. Pacific Northwest National Laboratory (United States of America), 3. Argonne National Laboratory (United States of America), 4. Los Alamos National Laboratory (United States of America))